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Mendeley readers
Chapter title |
An Approach to Silhouette and Dunn Clustering Indices Applied to Big Data in Spark
|
---|---|
Chapter number | 15 |
Book title |
Advances in Artificial Intelligence
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-44636-3_15 |
Book ISBNs |
978-3-31-944635-6, 978-3-31-944636-3
|
Authors |
José María Luna-Romera, María del Mar Martínez-Ballesteros, Jorge García-Gutiérrez, José C. Riquelme-Santos |
Editors |
Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 24% |
Researcher | 4 | 14% |
Student > Master | 4 | 14% |
Lecturer | 3 | 10% |
Student > Postgraduate | 2 | 7% |
Other | 4 | 14% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 38% |
Engineering | 3 | 10% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 5 | 17% |
Unknown | 7 | 24% |